# masstools **Repository Path**: tidymass/masstools ## Basic Information - **Project Name**: masstools - **Description**: masstools repo - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-09-17 - **Last Updated**: 2024-05-29 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # masstools [![](https://www.r-pkg.org/badges/version/masstools?color=green)](https://cran.r-project.org/package=masstools) [![](https://img.shields.io/github/languages/code-size/tidymass/masstools.svg)](https://github.com/tidymass/masstools) [![Dependencies](https://tinyverse.netlify.com/badge/masstools)](https://cran.r-project.org/package=masstools) [![](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental) `masstools` is a part of [tidymass](https://www.tidymass.org/) ------- # About `masstools` is a collections of useful tiny tools for mass spectrometry data processing. # Installation You can install `masstools` from [GitLab](https://gitlab.com/jaspershen/masstools) ``` r if(!require(remotes)){ install.packages("remotes") } remotes::install_gitlab("jaspershen/masstools") ``` or [GitHub](https://github.com/tidymass/masstools). ``` r remotes::install_github("tidymass/masstools") ``` # Usage Please see the `Help documents` page to get the instruction of `masstools`. # Need help? If you have any questions about `masstools`, please don’t hesitate to email me () or reach out me via the social medias below. [shenxt1990](https://www.shenxt.info/files/wechat_QR.jpg) [Twitter](https://twitter.com/JasperShen1990) [M339, Alway Buidling, Cooper Lane, Palo Alto, CA 94304](https://www.google.com/maps/place/Alway+Building/@37.4322345,-122.1770883,17z/data=!3m1!4b1!4m5!3m4!1s0x808fa4d335c3be37:0x9057931f3b312c29!8m2!3d37.4322345!4d-122.1748996) # Citation If you use `masstools` in your publications, please cite this paper: Shen, X., Yan, H., Wang, C. et al. TidyMass an object-oriented reproducible analysis framework for LC–MS data. Nat Commun 13, 4365 (2022). [Weblink](https://www.nature.com/articles/s41467-022-32155-w) Thanks very much!